Foundation Health
via Ashby
Senior Software Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 21d ago
The date the source published, not the day we noticed it (2026-08-25). Last seen at its source just now.
Is it remote?
United States - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160.8k–210k/yr
Middle 50% of 739 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen just now
The listing
About Foundation Health
Foundation Health is an AI operating system for pharmacy - built by a team who lived the problem firsthand, not one that came to healthcare from the outside. Every day, prior authorizations delay prescriptions, pharmacists lose hours to paperwork instead of patients, and prescriptions slip through the cracks between health systems. We believe thoughtfully applied AI can finally change that - deep, integrated infrastructure that streamlines how care is coordinated, purpose-built for the complexity of specialty pharmacy.
We're building toward a world where pharmacy teams spend their time on patients, not paperwork - where AI handles the routine so clinicians can focus on what only humans can do. Getting there takes the right people. We're looking for curious, ambitious folks who want to help solve healthcare's hardest problems - for our patients, our partners, and each other.
The Role
This isn't a pitch deck. Our platform is live in production inside major US health systems — including Intermountain Health — where our AI handles real patient communication over voice and SMS and plugs directly into Epic workflows. We have a public partnership with Amazon Pharmacy. We raised a $20M Series A led by Define Ventures. Our CEO is a 2x founder; our VP of Engineering came from DeepMind. We're ~70 people, past PMF, with enterprise customers pulling us forward faster than we can hire.
You'll own features end-to-end: from a loose product requirement, through the data model and API design, to production and into a customer's hands — sometimes within 48 hours.
Think about your last launch. How long between "this is obviously right" and "it's live"? Whether the delay was review layers, a roadmap you didn't control, or a client who kept changing their mind — that gap is the reason this role exists. No ticket factory, no hands-off managers to route decisions through, no theatre.
The technical problems you'd own
Features built on LLMs that ship to real users in a regulated environment — which means evals, guardrails, and thinking hard about failure modes, not demo-ware
Integration with the messy, fascinating reality of healthcare systems: Epic workflows, prior auth logic, pharmacy operations
Full-feature architecture: data models, APIs, state, rollout — yours, end to end
Your own feature area's health: you'll watch metrics, error logs and user feedback because it's yours, not because someone assigned you a dashboard
What we're looking for
You've shipped production systems you can talk about in depth — the choices, the tradeoffs, what you'd do differently
You thrive when the path isn't fully paved. Loose requirements energize you rather than block you
Genuine product instinct: you ask "why" when a requirement feels off, and you treat regressions personally
AI tools are already embedded in how you work, not a thing you're meaning to try
Stack is Node/TypeScript/GCP, all greenfield — but we hire engineers, not stacks.
The practical stuff
We're remote-first across the US, though we've just opened a hub in Orlando if you ever wanted your comp to survive contact with your cost of living. And it's early enough that the equity is founding-role equity, not a rounding error.